Research Article

Diverse Associations of Plasma Selenium Concentrations and SELENOP Gene Polymorphism with Metabolic Syndrome and Its Components

Table 2

Associations of plasma selenium concentration with MetS and its componentsa.

Quartiles of plasma selenium concentrations (μg/L) value for trendb value
Q1, <82.36Q2, 82.37-92.66Q3, 92.67-103.52Q4, ≥103.53

MetS
No. of cases/controls, /304/320301/320278/319396/320
 Crude OR0.76 (0.61-0.95)0.76 (0.61-0.94)0.70 (0.56-0.87)10.0270.007
 Model 10.80 (0.60-1.07)0.76 (0.57-1.03)0.62 (0.46-0.83)10.2660.017
 Model 20.79 (0.59-1.06)0.75 (0.56-1.01)0.61 (0.45-0.83)10.2180.015
Central obesity
No. of cases/controls, /334/283316/299282/306388/319
 Crude OR0.97 (0.78-1.21)0.87 (0.70-1.08)0.76 (0.61-0.94)10.9850.062
 Model 10.98 (0.73-1.30)0.90 (0.67-1.19)0.67 (0.50-0.90)10.7510.032
 Model 20.98 (0.73-1.31)0.89 (0.67-1.19)0.67 (0.50-0.89)10.7550.031
Hypertriglyceridemia
No. of cases/controls, /235/387235/385224/368333/382
 Crude OR0.70 (0.56-0.87)0.70 (0.56-0.87)0.70 (0.56-0.87)10.0010.001
 Model 10.74 (0.59-0.93)0.75 (0.60-0.94)0.71 (0.57-0.90)10.0120.010
 Model 20.73 (0.58-0.92)0.74 (0.59-0.93)0.72 (0.57-0.91)10.0080.009
Low HDL-C
No. of cases/controls, /236/386180/440156/438194/521
 Crude OR1.64 (1.30-2.07)1.10 (0.87-1.40)0.96 (0.75-1.22)1<0.001<0.001
 Model 11.47 (1.15-1.88)1.06 (0.82-1.37)0.89 (0.69-1.16)10.0010.001
 Model 21.42 (1.11-1.82)1.05 (0.81-1.35)0.88 (0.68-1.15)10.0030.003
High blood pressure
No. of cases/controls, /326/219322/210300/233383/252
 Crude OR0.98 (0.78-1.24)1.01 (0.80-1.28)0.85 (0.67-1.07)10.8260.446
 Model 11.05 (0.82-1.36)1.00 (0.77-1.29)0.83 (0.65-1.07)10.4800.315
 Model 21.08 (0.84-1.40)1.01 (0.78-1.31)0.82 (0.63-1.05)10.3350.181
Hyperglycemia
No. of cases/controls, /324/298379/240386/209487/227
 Crude OR0.51 (0.41-0.63)0.74 (0.59-0.92)0.86 (0.68-1.08)1<0.001<0.001
 Model 10.57 (0.45-0.72)0.82 (0.65-1.03)0.92 (0.73-1.17)1<0.001<0.001
 Model 20.58 (0.46-0.73)0.82 (0.65-1.04)0.92 (0.72-1.17)1<0.001<0.001

aOdds ratios (95% confidence intervals) for MetS were estimated by conditional logistic regression, and ORs (95% CIs) for central obesity, hypertriglyceridemia, low HDL-C, hypertension, and hyperglycemia were estimated by binary logistic regression. Model 1 was adjusted for sex, age (years), and body mass index (kg/m2). Model 2 was adjusted for model 1 plus smoking (current, former, and never), drinking (current, former, and never), vigorous activity (yes or no), and education level (none or elementary school, middle school, and high school or college). HDL-C: high-density lipoprotein cholesterol; MetS: metabolic syndrome; OR: odds ratio. bTests for linear trend were conducted by using the median value for each quartile and treating it as a continuous variable.